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Segmentation Of SAR Images

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1989Publisher:IEEEJournal:International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., volume 3, pages 1,503-1,506

Authors: Lee, J.-S.; Jurkevich, I.;

doi: 10.1109/igarss.1988.569504 , 10.1109/36.35954

Segmentation Of SAR Images

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Abstract

Based on an SAR speckle statistical model, the authors investigate the feasibility of segmenting SAR images based on a gray-level histogram for one-look and multilook processed SAR images. The classification errors are evaluated and a procedure for the multilevel thresholding of SAR images is devised. The misclassification probabilities for one-look and four-look processed images are calculated and presented, and an unsupervised segmentation algorithm is given. A simulated one-look intensity image and a four-look SIR-B amplitude image are used for illustration. >

Related Organizations

United States Naval Research Laboratory
United States
Naval Research Laboratory Optical Sciences Division
United States

6 Research products, page 1 of 1

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	108
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%